Electronic Engineering Institute of Hefei

Hefei, China

Electronic Engineering Institute of Hefei

Hefei, China
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Wei W.,China Institute of Technology | Ye H.,Electronic Engineering Institute of Hefei
ISSCAA2010 - 3rd International Symposium on Systems and Control in Aeronautics and Astronautics | Year: 2010

The computational complexity of multi-dimension assignment algorithm, which can be used to solve multi-sensor multi-target location and tracking problem based on time difference of arrival (TDOA) measurements, will increase exponentially with the scale of assignment problem. By the fact that multiple emitters usually exist separately in the surveillance space, the clustering technique is used to partition the global multiple dimension assignment problem into some local sub problem for reducing the computational complexity. Its efficiency has been confirmed by computer simulations. ©2010 IEEE.


Chen X.,Electronic Engineering Institute of Hefei | Chen H.,Electronic Engineering Institute of Hefei | Chen Y.,Harbin Institute of Technology
Proceedings - 4th International Workshop on Chaos-Fractals Theories and Applications, IWCFTA 2011 | Year: 2011

Band the merits of cognitive ultra-wideband (CUWB) and fractal dimensions together, this paper presented a spectrum sensing method employing the difference of fractal box dimension and information dimension between noise and primary signals through taking double threshold strategy. For the purpose of meeting the need of spectrum sensing in CUWB, this method selects information dimension as the recognition characteristic parameter to recognize signal modulation mode. Simulation results show that the spectrum sensing method based on fractal dimensions is not sensitive to the noise and has a good sensing performance with low computational complexity, and it is able to realize modulation recognition effectively, as a whole, the method is fit for CUWB system. © 2011 IEEE.


Tan H.,Beijing Institute of Technology | Feng J.,Beijing Institute of Technology | Chen Z.,Electronic Engineering Institute of Hefei | Yang F.,University of Wisconsin - Madison | Wang W.,Beijing Institute of Technology
Advances in Mechanical Engineering | Year: 2014

The problem of missing data in multiway arrays (i.e., tensors) is common in many fields such as bibliographic data analysis, image processing, and computer vision. We consider the problems of approximating a tensor by another tensor with low multilinear rank in the presence of missing data and possibly reconstructing it (i.e., tensor completion). In this paper, we propose a weighted Tucker model which models only the known elements for capturing the latent structure of the data and reconstructing the missing elements. To treat the nonuniqueness of the proposed weighted Tucker model, a novel gradient descent algorithm based on a Grassmann manifold, which is termed Tucker weighted optimization (Tucker-Wopt), is proposed for guaranteeing the global convergence to a local minimum of the problem. Based on extensive experiments, Tucker-Wopt is shown to successfully reconstruct tensors with noise and up to 95% missing data. Furthermore, the experiments on traffic flow volume data demonstrate the usefulness of our algorithm on real-world application. © 2014 Huachun Tan et al.


Wang Y.,Electronic Engineering Institute of Hefei | Yang J.,Electronic Engineering Institute of Hefei | Liu H.,Electronic Engineering Institute of Hefei
Electronics Letters | Year: 2012

A new method for feature extraction of acoustic targets based on manifold learning is proposed. The new method overcomes the shortcomings of the original manifold learning algorithm by minimising the impact of noise on the manifold and makes full use of the classification information to extract the intrinsic features of acoustic targets, thus improving the accuracy of acoustic targets recognition. Results of experiments suggest the proposed method is efficient and feasible. © 2012 The Institution of Engineering and Technology.


Ruan H.,Electronic Engineering Institute of Hefei | Xu J.,Electronic Engineering Institute of Hefei
Proceedings of 2011 International Conference on Electronic and Mechanical Engineering and Information Technology, EMEIT 2011 | Year: 2011

Put forward the method of Instantaneous feature extraction of non-stationary signal based on complex wavelet Morlet. Aiming at the characteristics of non-stationary signal signal, we construct two groups of combination information suitable for feature extraction combining amplitude and phase information which complex wavelet transform provide. The example of linear frequency-modulated signals and application examples of bearing vibration signal show that the model and the method have better antinoise ability, and have higher precision to the Instantaneous feature of non-stationary signal, and it can extract Instantaneous feature of non-stationary signal This method can realize its fast algorithm by Fourier transform, and has the simple and fast characteristics of algorithm, and realize the real-time analysis of the instantaneous characteristics of non-stationary signal © 2011 IEEE.


Chen M.-J.,Electronic Engineering Institute of Hefei | Luo J.-Q.,Electronic Engineering Institute of Hefei
Tien Tzu Hsueh Pao/Acta Electronica Sinica | Year: 2014

Since the robust beamformer based on a single uncertainty set constraints was susceptible to the norm constraint parameter, a novel robust broadband beamforming algorithm based on the double uncertainty set constraints was proposed. In the case that the practical steering vector is constrained to two spherical uncertainty sets with different model parameter, the proposed method effectively overcomes the SINR degradation problem of the robust beamformer based on a single uncertainty set constraints. Moreover, a necessary condition under which the D-WCRB algorithm achieves different SINR performance from the S-WCRB algorithm was derived. The choices of constraint parameter were also discussed. Finally, simulation results demonstrate the effectiveness of the proposed algorithm.


Fan F.,Electronic Engineering Institute of Hefei
5th International Conference on Intelligent Control and Information Processing, ICICIP 2014 - Proceedings | Year: 2015

There could be difficulties in construction of random measurement matrix. A deterministic method is therefore proposed to construct hybrid chaotic map sparse toeplitz-structured (HcmST) matrix for compressive sensing in this paper. It is proved that HcmST matrix, generated based on hybrid chaos map sequence and its uniform sampling with large interval, meets the RIP characteristic with high probability. Simulation experiments show that HcmST matrix is of low accumulative coherence, and hence, support accurate signal reconstruction. © 2014 IEEE.


Zhu X.Y.,Electronic Engineering Institute of Hefei | Wu Z.Y.,Electronic Engineering Institute of Hefei
Advanced Materials Research | Year: 2013

Current advanced Fuzzing technique can only implement vulnerability mining on a single vulnerable statement each time, and this paper proposes a new multi-dimension Fuzzing technique, which uses niche genetic algorithm to generate test cases and can concurrently approach double vulnerable targets with the minimum cost on the two vulnerable statements each time. For that purpose, a corresponding mathematical model and the minimum cost theorem are presented. The results of the experiment show that the efficiency of the new proposed Fuzzing technique is much better than current advanced Fuzzing techniques. © (2013) Trans Tech Publications, Switzerland.


Chen H.,Electronic Engineering Institute of Hefei | Jia Z.,Electronic Engineering Institute of Hefei | Cai X.,Electronic Engineering Institute of Hefei
2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010 | Year: 2010

Aimed at the emission mask property of ultra wideband (UWB) system proposed by federal communications commission (FCC), a novel pulse waveform design method for UWB communication based on combination of the sinusoid Gaussian pulse is presented. The sinusoid Gaussian pulses with diverse shaping factors and diverse carrier frequencies are chosen as basis functions. The weighting coefficients which based on least square error (LSE) are made certain acted as linear combination coefficients of basis functions, the waveform is further optimized by tuning carrier frequencies and shaping factors. The bit error rate (BER) performance of the TH-PPM UWB pulse is analyzed in a multi-user environment. Compared with the second derivative Gaussian pulse and random coefficient combination pulse, the simulation results show that the pulse designed based on combination of the sinusoid Gaussian pulse has higher spectral utilization efficiency and better bit error rate(BER) performance. © 2010 IEEE.


Li P.,Electronic Engineering Institute of Hefei | Zhang M.,Electronic Engineering Institute of Hefei | Zhong Z.,Electronic Engineering Institute of Hefei
Electronics Letters | Year: 2011

An integrative wideband direction of arrival (DOA) estimation method is proposed based on a novel data model using the concept of sparse representation. The new method makes full use of the frequency distribution of a received signal to generate the over-complete dictionary. The method requires no prior information of signal number. No spectral decomposition or focusing is necessary for either coherent or incoherent signals. © 2011 The Institution of Engineering and Technology.

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